Journal of Financial Economics 51 (1999) 245271 Using inherited algorithms to ?nd good trading rules Franklin Allen *, Risto Karjalainen The Wharton School, University of Pennsylvania, Philadelphia, PA 19104, USA Merrill violent death & Co., Inc., Mercury Asset Management, 33 King William Street, London, EC4R 9AS, UK Received 12 October 1995; received in revised form 7 April 1998 filch We use a genetic algorithm to l get ahead technical trading rules for the S&P viosterol index utilise daily prices from 1928 to 1995. After transaction costs, the rules do not earn consistent excess returns over a simple buy-and-hold dodge in the out-of-sample test periods. The rules ar satisfactory to identify periods to be in the index when daily returns are positive and volatility is low and out when the reverse is true. These last mentioned results can by and large be explained by low-order consequent correlation in transmission line index returns. 1999 Elsevier acquainta nce S.A. All rights reserved. JEL classi?cation: C61; G11; G14 Keywords: Trading rules; transmissible algorithms; lavishness returns 1. Introduction Genetic algorithms belong to a class of machine learning algorithms that comport been success overflowingy used in a number of interrogation areas. There is a growing interest * interchangeable author. Tel.

: 215 898 3628; facsimile machine: 215 573 2207; e-mail: allenf@wharton.upenn.edu. Helpful comments were made by crack Dunsby, Lawrence Fisher, Steven Kimbrough, capital of Minnesota Kleindorfer, Michele Kreisler, James Laing, Josef Lakonishok, George Mail ath, and seminar participants at Institution! al Investor, J.P. Morgan, the NBER Asset determine Program, Ohio take University, Purdue University, the Santa Fe Institute, Rutgers University, Stanford University, University of California, Berkeley, University of Michigan, University of Pennsylvania, University of Utah, Washington University (St. Louis), and the 1995 AFA Meetings in Washington, D.C. We are in situation grateful to Kenneth R. French (the referee), and G. William Schwert (the editor) for their...If you want to get a spacious essay, order it on our website:
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